Применение мобильных и носимых технологий для эффективного анализа функционального состояния спортсмена
In this article the authors offer the new approach and scheme of the application, wich allows to evaluate the effectiveness of the athlete's training program without active intervening in the training process. Created structure of the application has such advantages as compactness and the ability to be expanded through the addition of new data sources, wich can increase the accuracy of the analysis.
The paper reviews the problem of age and gender recognition methods for video data using modern deep convolutional neural networks. We present the comparative analysis of classifier fusion algorithms to aggregate decisions for individual frames. We implemented the video-based recognition system with several aggregation methods to improve the age and gender identification accuracy. The experimental comparison of the proposed approach with traditional simple voting using IJB-A, Indian Movies, and Kinect datasets is provided. It is demonstrated that the most accurate decisions are obtained using the geometric mean and mathematical expectation of the outputs at softmax layers of the convolutional neural networks for gender recognition and age prediction, respectively.
Because of rapid mobile technologies expansion, there is a gap between the complexity of mobile applications and the complexity of employed testing techniques. This paper is aimed at reducing the gap from the theoretical point of view. The paper comprises an analysis of mobile applications testing processes, mobile applications testing metrics, along with the full test coverage criterion. It also contains an integral criterion of the testing processes optimization which is based on the idea of summing the corresponding sub-processes times. The presented criterion leads to an assumption of the tests generation approach efficiency. Therefore a partial criterion of the tests generation process is proposed. The mathematical model of this partial criterion is based on the properties of different algebraic expressions. The numerical results section includes processes comparison and some estimates.
Because of rapid mobile technologies expansion, there is a gap between the complexity of mobile applications and the complexity of employed testing techniques. This paper is aimed at reducing the gap from the practical point of view. Tests generation techniques are widely spread, but none of them are optimized for mobile applications. This paper proposes an analytical model of tests generation process, which is based on prototypes and takes mobile specificity into consideration. Along with this an analysis of existing tests generation approaches has beenmade. The flowchart of the proposed model has been submitted with the model. The efficiency of the model has been described in the numerical results section.
The article is devoted to questions of development of mobile applications based on Android OS for teaching children. This article describes the basic components and structure of the mobile application. Learning's process should be unobtrusive and at the same time should be interesting.
Many electronic devices operate in a cyclic mode. This should be considered when forecastingreliability indicators at the design stage.The accuracy of the prediction and the planning for the event to ensure reliability depends on correctness of valuation and accounting greatest possiblenumber of factors. That in turn will affect the overall progress of the design and, in the end,result in the quality and competitiveness of products